iPhone 15 Pro
Geekbench ML Score
4111
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 11 2024 07:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1726
323.0 IPS |
|
|
Image Classification (F16)
|
100% |
2180
407.9 IPS |
|
|
Image Classification (I8)
|
99% |
2179
407.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
874
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7850
9.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
16474
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16465
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1655
123.6 IPS |
|
|
Object Detection (F16)
|
100% |
2274
169.8 IPS |
|
|
Object Detection (I8)
|
97% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
2948
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
4880
58.0 IPS |
|
|
Face Detection (I8)
|
97% |
4907
58.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6575
51.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9732
75.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9756
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20450
26.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30462
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30202
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5281
188.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6000
214.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6479
231.4 IPS |
|
|
Text Classification (F32)
|
100% |
2951
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4910
7.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4812
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.4 IPS |
